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"worksheets": [
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"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"%install_ext https://raw.github.com/minrk/ipython_extensions/master/nbtoc.py\n",
"%load_ext nbtoc\n",
"%nbtoc"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Installed nbtoc.py. To use it, type:\n",
" %load_ext nbtoc\n",
"The nbtoc extension is already loaded. To reload it, use:\n",
" %reload_ext nbtoc\n"
]
},
{
"html": [
"\n",
"\n",
" \n",
"\n",
"\n",
"\n"
],
"metadata": {},
"output_type": "display_data"
},
{
"javascript": [
"// adapted from https://gist.github.com/magican/5574556\n",
"\n",
"function clone_anchor(element) {\n",
" // clone link\n",
" var h = element.find(\"div.text_cell_render\").find(':header').first();\n",
" var a = h.find('a').clone();\n",
" var new_a = $(\"\");\n",
" new_a.attr(\"href\", a.attr(\"href\"));\n",
" // get the text *excluding* the link text, whatever it may be\n",
" var hclone = h.clone();\n",
" hclone.children().remove();\n",
" new_a.text(hclone.text());\n",
" return new_a;\n",
"}\n",
"\n",
"function ol_depth(element) {\n",
" // get depth of nested ol\n",
" var d = 0;\n",
" while (element.prop(\"tagName\").toLowerCase() == 'ol') {\n",
" d += 1;\n",
" element = element.parent();\n",
" }\n",
" return d;\n",
"}\n",
"\n",
"function table_of_contents(threshold) {\n",
" if (threshold === undefined) {\n",
" threshold = 4;\n",
" }\n",
" var cells = IPython.notebook.get_cells();\n",
" \n",
" var ol = $(\"
\");\n",
" $(\"#toc\").empty().append(ol);\n",
" \n",
" for (var i=0; i < cells.length; i++) {\n",
" var cell = cells[i];\n",
" \n",
" if (cell.cell_type !== 'heading') continue;\n",
" \n",
" var level = cell.level;\n",
" if (level > threshold) continue;\n",
" \n",
" var depth = ol_depth(ol);\n",
"\n",
" // walk down levels\n",
" for (; depth < level; depth++) {\n",
" var new_ol = $(\"
\");\n",
" ol.append(new_ol);\n",
" ol = new_ol;\n",
" }\n",
" // walk up levels\n",
" for (; depth > level; depth--) {\n",
" ol = ol.parent();\n",
" }\n",
" //\n",
" ol.append(\n",
" $(\"\").append(clone_anchor(cell.element))\n",
" );\n",
" }\n",
"\n",
" $('#toc-wrapper .header').click(function(){\n",
" $('#toc').slideToggle();\n",
" $('#toc-wrapper').toggleClass('closed');\n",
" if ($('#toc-wrapper').hasClass('closed')){\n",
" $('#toc-wrapper .hide-btn').text('[show]');\n",
" } else {\n",
" $('#toc-wrapper .hide-btn').text('[hide]');\n",
" }\n",
" return false;\n",
" })\n",
"\n",
" $(window).resize(function(){\n",
" $('#toc').css({maxHeight: $(window).height() - 200})\n",
" })\n",
"\n",
" $(window).trigger('resize')\n",
"}\n",
"\n",
"table_of_contents();\n",
"\n",
"\n"
],
"metadata": {},
"output_type": "display_data"
}
],
"prompt_number": 157
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Saturday lecture"
]
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Friday review"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"math"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"6 + 7.5"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 86,
"text": [
"13.5"
]
}
],
"prompt_number": 86
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"type()"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"type(\"cows\")"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 151,
"text": [
"str"
]
}
],
"prompt_number": 151
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"variables"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"n = 22"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 88
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"n"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 89,
"text": [
"22"
]
}
],
"prompt_number": 89
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"strings"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"beasts = \"cows\""
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 90
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"booleans"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"True"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 152,
"text": [
"True"
]
}
],
"prompt_number": 152
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"False"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 153,
"text": [
"False"
]
}
],
"prompt_number": 153
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"4 > 10"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 154,
"text": [
"False"
]
}
],
"prompt_number": 154
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"\"True\" == True"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 155,
"text": [
"False"
]
}
],
"prompt_number": 155
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"if/elif/else"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"score1 = 4\n",
"score2 = 10\n",
"if score1 > score2:\n",
" print \"We're #1!\"\n",
"elif score2 > score1:\n",
" print \"Better luck next time\"\n",
"else:\n",
" print \"It's not over!\""
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Better luck next time\n"
]
}
],
"prompt_number": 95
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"functions"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def eval_scores(score1, score2):\n",
" if score1 > score2:\n",
" print \"We're #1!\"\n",
" elif score2 > score1:\n",
" print \"Better luck next time\"\n",
" else:\n",
" print \"It's not over!\""
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 96
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"eval_scores(40, 30)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"We're #1!\n"
]
}
],
"prompt_number": 97
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def very(adj):\n",
" return 'totally ' + adj"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 98
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"very('fun')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 99,
"text": [
"'totally fun'"
]
}
],
"prompt_number": 99
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"difficulty = very('hard')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 100
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"difficulty"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 101,
"text": [
"'totally hard'"
]
}
],
"prompt_number": 101
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Lists"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"purpose"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Conveniently handle bunches of data that will all need to be treated together!"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"initialization"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names = ['Linda', 'Katina', 'Alexandria', 'Jennifer']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 102
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 103,
"text": [
"['Linda', 'Katina', 'Alexandria', 'Jennifer']"
]
}
],
"prompt_number": 103
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"len() review"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"len('Alexandria')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 104,
"text": [
"10"
]
}
],
"prompt_number": 104
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"len(names)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 105,
"text": [
"4"
]
}
],
"prompt_number": 105
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"accessing elements"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 106,
"text": [
"['Linda', 'Katina', 'Alexandria', 'Jennifer']"
]
}
],
"prompt_number": 106
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names[1]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 107,
"text": [
"'Katina'"
]
}
],
"prompt_number": 107
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names[0]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 108,
"text": [
"'Linda'"
]
}
],
"prompt_number": 108
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names[-1]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 109,
"text": [
"'Jennifer'"
]
}
],
"prompt_number": 109
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"adding elements"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names.append('Francine')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 110
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 111,
"text": [
"['Linda', 'Katina', 'Alexandria', 'Jennifer', 'Francine']"
]
}
],
"prompt_number": 111
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"changing elements"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names[2]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 112,
"text": [
"'Alexandria'"
]
}
],
"prompt_number": 112
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names[2] = 'Alex'"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 113
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 114,
"text": [
"['Linda', 'Katina', 'Alex', 'Jennifer', 'Francine']"
]
}
],
"prompt_number": 114
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"slicing lists"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names[1:3]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 115,
"text": [
"['Katina', 'Alex']"
]
}
],
"prompt_number": 115
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names[:3]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 116,
"text": [
"['Linda', 'Katina', 'Alex']"
]
}
],
"prompt_number": 116
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names[3:]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 117,
"text": [
"['Jennifer', 'Francine']"
]
}
],
"prompt_number": 117
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"names[-2:]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 118,
"text": [
"['Jennifer', 'Francine']"
]
}
],
"prompt_number": 118
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"strings are like lists"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"lang = 'Python'\n",
"lang[0]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 119,
"text": [
"'P'"
]
}
],
"prompt_number": 119
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"lang[-3:]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 120,
"text": [
"'hon'"
]
}
],
"prompt_number": 120
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"loops and more: flow control"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"*for* loops"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for name in names:\n",
" print 'Hi ' + name"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Hi Linda\n",
"Hi Katina\n",
"Hi Alex\n",
"Hi Jennifer\n",
"Hi Francine\n"
]
}
],
"prompt_number": 121
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"*if* statements inside *for* loops"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for name in names:\n",
" if len(name) > 5:\n",
" print name + \", you need a nickname\"\n",
" else:\n",
" print \"Hi \" + name"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Hi Linda\n",
"Katina, you need a nickname\n",
"Hi Alex\n",
"Jennifer, you need a nickname\n",
"Francine, you need a nickname\n"
]
}
],
"prompt_number": 122
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"nested *for* loops"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for name in names:\n",
" for letter in name:\n",
" print \"gimme a \" + letter\n",
" print \"What's it spell? \" + name + \"!\""
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"gimme a L\n",
"gimme a i\n",
"gimme a n\n",
"gimme a d\n",
"gimme a a\n",
"What's it spell? Linda!\n",
"gimme a K\n",
"gimme a a\n",
"gimme a t\n",
"gimme a i\n",
"gimme a n\n",
"gimme a a\n",
"What's it spell? Katina!\n",
"gimme a A\n",
"gimme a l\n",
"gimme a e\n",
"gimme a x\n",
"What's it spell? Alex!\n",
"gimme a J\n",
"gimme a e\n",
"gimme a n\n",
"gimme a n\n",
"gimme a i\n",
"gimme a f\n",
"gimme a e\n",
"gimme a r\n",
"What's it spell? Jennifer!\n",
"gimme a F\n",
"gimme a r\n",
"gimme a a\n",
"gimme a n\n",
"gimme a c\n",
"gimme a i\n",
"gimme a n\n",
"gimme a e\n",
"What's it spell? Francine!\n"
]
}
],
"prompt_number": 123
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"range()"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for n in [0, 1, 2, 3, 4]:\n",
" print 'I love Python'"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"I love Python\n",
"I love Python\n",
"I love Python\n",
"I love Python\n",
"I love Python\n"
]
}
],
"prompt_number": 124
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"range(5)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 125,
"text": [
"[0, 1, 2, 3, 4]"
]
}
],
"prompt_number": 125
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for n in range(5):\n",
" print 'I love Python'"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"I love Python\n",
"I love Python\n",
"I love Python\n",
"I love Python\n",
"I love Python\n"
]
}
],
"prompt_number": 126
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"*while* loops"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"n = 1\n",
"while n < 100:\n",
" next = n + n\n",
" print str(n) + \" and \" + str(n) + \" is \" + str(next)\n",
" n = next"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"1 and 1 is 2\n",
"2 and 2 is 4\n",
"4 and 4 is 8\n",
"8 and 8 is 16\n",
"16 and 16 is 32\n",
"32 and 32 is 64\n",
"64 and 64 is 128\n"
]
}
],
"prompt_number": 127
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"infinite loops"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" n = 1\n",
" while n < 100:\n",
" next = n + n\n",
" print str(n) + \" and \" + str(n) + \" is \" + str(next)"
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"*if* statements inside *while* loops"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"n = 1\n",
"while n < 100:\n",
" next = n + n\n",
" print str(n) + \" and \" + str(n) + \" is \" + str(next)\n",
" if n > 10:\n",
" print \"My, these numbers are getting big\"\n",
" n = next"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"1 and 1 is 2\n",
"2 and 2 is 4\n",
"4 and 4 is 8\n",
"8 and 8 is 16\n",
"16 and 16 is 32\n",
"My, these numbers are getting big\n",
"32 and 32 is 64\n",
"My, these numbers are getting big\n",
"64 and 64 is 128\n",
"My, these numbers are getting big\n"
]
}
],
"prompt_number": 128
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"break"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"n = 1\n",
"while True:\n",
" next = n + n\n",
" print str(n) + \" and \" + str(n) + \" is \" + str(next)\n",
" n = next\n",
" if n > 100:\n",
" break"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"1 and 1 is 2\n",
"2 and 2 is 4\n",
"4 and 4 is 8\n",
"8 and 8 is 16\n",
"16 and 16 is 32\n",
"32 and 32 is 64\n",
"64 and 64 is 128\n"
]
}
],
"prompt_number": 129
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"raw_input()"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"name = raw_input(\"Hi, what's your name? \")\n",
"print \"Nice to meet you, \" + name"
],
"language": "python",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"stream": "stdout",
"text": [
"Hi, what's your name? Catherine\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Nice to meet you, Catherine\n"
]
}
],
"prompt_number": 130
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"dictionaries"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"purpose"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Think of a phone book!"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"initialization"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"profession = {'Linda': 'Lion tamer',\n",
" 'Alex': 'Ambassador to Antarctica',\n",
" 'Katina': 'Rocketeer'}"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 131
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"profession"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 132,
"text": [
"{'Alex': 'Ambassador to Antarctica',\n",
" 'Katina': 'Rocketeer',\n",
" 'Linda': 'Lion tamer'}"
]
}
],
"prompt_number": 132
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"accessing elements"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"profession['Alex']"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 133,
"text": [
"'Ambassador to Antarctica'"
]
}
],
"prompt_number": 133
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"adding elements"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"profession['Jennifer'] = 'Court Jester'"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 134
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"profession"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 135,
"text": [
"{'Alex': 'Ambassador to Antarctica',\n",
" 'Jennifer': 'Court Jester',\n",
" 'Katina': 'Rocketeer',\n",
" 'Linda': 'Lion tamer'}"
]
}
],
"prompt_number": 135
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"changing elements\n",
"-----------------"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"profession['Jennifer'] = 'Feline Psychotherapist'"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 136
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"keys() and values()"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"profession"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 137,
"text": [
"{'Alex': 'Ambassador to Antarctica',\n",
" 'Jennifer': 'Feline Psychotherapist',\n",
" 'Katina': 'Rocketeer',\n",
" 'Linda': 'Lion tamer'}"
]
}
],
"prompt_number": 137
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"profession.keys()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 138,
"text": [
"['Linda', 'Alex', 'Katina', 'Jennifer']"
]
}
],
"prompt_number": 138
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"profession.values()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 139,
"text": [
"['Lion tamer',\n",
" 'Ambassador to Antarctica',\n",
" 'Rocketeer',\n",
" 'Feline Psychotherapist']"
]
}
],
"prompt_number": 139
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"profession.items()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 140,
"text": [
"[('Linda', 'Lion tamer'),\n",
" ('Alex', 'Ambassador to Antarctica'),\n",
" ('Katina', 'Rocketeer'),\n",
" ('Jennifer', 'Feline Psychotherapist')]"
]
}
],
"prompt_number": 140
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for (name, prof) in profession.items():\n",
" print name + \" is a \" + prof"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Linda is a Lion tamer\n",
"Alex is a Ambassador to Antarctica\n",
"Katina is a Rocketeer\n",
"Jennifer is a Feline Psychotherapist\n"
]
}
],
"prompt_number": 141
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"modules"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"purpose"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- Don't write it twice!\n",
"- Don't write it at all!"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"builtins"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"dir(__builtin__)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 142,
"text": [
"['ArithmeticError',\n",
" 'AssertionError',\n",
" 'AttributeError',\n",
" 'BaseException',\n",
" 'BufferError',\n",
" 'BytesWarning',\n",
" 'DeprecationWarning',\n",
" 'EOFError',\n",
" 'Ellipsis',\n",
" 'EnvironmentError',\n",
" 'Exception',\n",
" 'False',\n",
" 'FloatingPointError',\n",
" 'FutureWarning',\n",
" 'GeneratorExit',\n",
" 'IOError',\n",
" 'ImportError',\n",
" 'ImportWarning',\n",
" 'IndentationError',\n",
" 'IndexError',\n",
" 'KeyError',\n",
" 'KeyboardInterrupt',\n",
" 'LookupError',\n",
" 'MemoryError',\n",
" 'NameError',\n",
" 'None',\n",
" 'NotImplemented',\n",
" 'NotImplementedError',\n",
" 'OSError',\n",
" 'OverflowError',\n",
" 'PendingDeprecationWarning',\n",
" 'ReferenceError',\n",
" 'RuntimeError',\n",
" 'RuntimeWarning',\n",
" 'StandardError',\n",
" 'StopIteration',\n",
" 'SyntaxError',\n",
" 'SyntaxWarning',\n",
" 'SystemError',\n",
" 'SystemExit',\n",
" 'TabError',\n",
" 'True',\n",
" 'TypeError',\n",
" 'UnboundLocalError',\n",
" 'UnicodeDecodeError',\n",
" 'UnicodeEncodeError',\n",
" 'UnicodeError',\n",
" 'UnicodeTranslateError',\n",
" 'UnicodeWarning',\n",
" 'UserWarning',\n",
" 'ValueError',\n",
" 'Warning',\n",
" 'ZeroDivisionError',\n",
" '__IPYTHON__',\n",
" '__IPYTHON__active',\n",
" '__debug__',\n",
" '__doc__',\n",
" '__import__',\n",
" '__name__',\n",
" '__package__',\n",
" 'abs',\n",
" 'all',\n",
" 'any',\n",
" 'apply',\n",
" 'basestring',\n",
" 'bin',\n",
" 'bool',\n",
" 'buffer',\n",
" 'bytearray',\n",
" 'bytes',\n",
" 'callable',\n",
" 'chr',\n",
" 'classmethod',\n",
" 'cmp',\n",
" 'coerce',\n",
" 'compile',\n",
" 'complex',\n",
" 'copyright',\n",
" 'credits',\n",
" 'delattr',\n",
" 'dict',\n",
" 'dir',\n",
" 'divmod',\n",
" 'dreload',\n",
" 'enumerate',\n",
" 'eval',\n",
" 'execfile',\n",
" 'file',\n",
" 'filter',\n",
" 'float',\n",
" 'format',\n",
" 'frozenset',\n",
" 'get_ipython',\n",
" 'getattr',\n",
" 'globals',\n",
" 'hasattr',\n",
" 'hash',\n",
" 'help',\n",
" 'hex',\n",
" 'id',\n",
" 'input',\n",
" 'int',\n",
" 'intern',\n",
" 'isinstance',\n",
" 'issubclass',\n",
" 'iter',\n",
" 'len',\n",
" 'license',\n",
" 'list',\n",
" 'locals',\n",
" 'long',\n",
" 'map',\n",
" 'max',\n",
" 'memoryview',\n",
" 'min',\n",
" 'next',\n",
" 'object',\n",
" 'oct',\n",
" 'open',\n",
" 'ord',\n",
" 'pow',\n",
" 'print',\n",
" 'property',\n",
" 'range',\n",
" 'raw_input',\n",
" 'reduce',\n",
" 'reload',\n",
" 'repr',\n",
" 'reversed',\n",
" 'round',\n",
" 'set',\n",
" 'setattr',\n",
" 'slice',\n",
" 'sorted',\n",
" 'staticmethod',\n",
" 'str',\n",
" 'sum',\n",
" 'super',\n",
" 'tuple',\n",
" 'type',\n",
" 'unichr',\n",
" 'unicode',\n",
" 'vars',\n",
" 'xrange',\n",
" 'zip']"
]
}
],
"prompt_number": 142
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"help(sum)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Help on built-in function sum in module __builtin__:\n",
"\n",
"sum(...)\n",
" sum(sequence[, start]) -> value\n",
" \n",
" Returns the sum of a sequence of numbers (NOT strings) plus the value\n",
" of parameter 'start' (which defaults to 0). When the sequence is\n",
" empty, returns start.\n",
"\n"
]
}
],
"prompt_number": 143
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"range(10)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 144,
"text": [
"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]"
]
}
],
"prompt_number": 144
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"sum(range(10))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 145,
"text": [
"45"
]
}
],
"prompt_number": 145
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"imports"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import random"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 146
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"random.randint(1, 100)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 147,
"text": [
"2"
]
}
],
"prompt_number": 147
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"random.choice([2, 8, 'twelve'])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 148,
"text": [
"2"
]
}
],
"prompt_number": 148
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Putting it all together"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[capitals.py](files/capitals.py), a quiz game"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 148
}
],
"metadata": {}
}
]
}